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Presentation: Logic-Based Automated Reasoning

Track: Modern CS in the Real World

Location: Pacific DEKJ

Day of week:

Level: Advanced

Persona: Developer

Abstract

Developing efficient and scalable software analysis tools is a tedious and very difficult task. First, due to the undecidability of the verification problem, tools, must be highly tuned and engineered to provide reasonable efficiency and precision trade-offs. Second, different programming languages come with very diverse assortments of syntactic and semantic features. Third, the diverse encoding of the verification problem makes the integration with other powerful solvers and verifiers difficult. In this talk, I will present SeaHorn — an open source automated logic-based reasoning tool built on top of LLVM -- an industrial compiler infrastructure. SeaHorn combines traditional and advanced automated reasoning algorithms based on Satisfiability Modulo Theory (SMT) and Abstract Interpretation. SeaHorn is a versatile and highly customizable tool which allows developers to easily build or experiment with new verification techniques.

Speaker: Temesghen Kahsai

Software Engineer, previously Research Scientist @NASAAmes

Temesghen works as a software engineer. His primary role at his current company is to develop automated logic-based verification tools for cloud security. Previously, he was a research scientist in the Robust Software Engineering group at NASA Ames, working on software verification tools for mission critical systems. During his tenure at NASA, he was also affiliated as a senior system scientist at Carnegie Mellon University (Cylab) where he led three research projects funded by NASA, NSF and DARPA. Temesghen holds a PhD in computer science from the University of Wales in Swansea.

Find Temesghen Kahsai at